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Hi all
I have created a dataflow that loads a *.csv file with 2 columns, performs some transformations (adjust column title, adjust data type (all string) and in the first column adds "000" as prefix to each value, so mapping with target column will work. So far so good. The table in CDS is a custom table and we use an alternate key (one column of type string) for mapping. The csv file contains 10 records, the table in CDS contains about 490'000 records.
The dataflow takes about 7 hours to run (and will certainly update the 10 records)!!!
What is going wrong here? Is this the expected performance?
